Chemometric Consulting
Mike Dereviankin
Who is Mike?
Forensic chemist and data science consultant with a focus on interpretation & education for the utilization of modern statistical approaches and machine learning to interpret multi-variant chemical data. Primary consulting experience with private companies, litigation firms, regulatory agencies, oil & gas, the chemical industry, and academia.
Work Experience
Principal Consultant
December 2021 – Present
Dereviankin Consulting Inc., CAN
Consultant
March 2020 – Present
Chemistry Matters Consulting Inc., CAN
Quality Auditor
September 2017 – September 2018
Labstat International ULC. Kitchener, CAN
Education
2018-2020 Masters of Science, Analytical Biogeochemistry
McMaster University, Hamilton, ON
Advisor: Dr. Gregory F. Slater
Extracurriculars: McMaster University Varsity Water Polo & Swimming Team
2012-2017 Bachelor of Science, Biological & Pharmaceutical Chemistry (Honours)
Undergraduate Thesis Advisor: Dr. Michael K. Denk
Dissertation: Denk, M. K., Milutinović, N. S., & Dereviankin, M. Y. (2019). Reduction of halocarbons to hydrocarbons by NADH models and NADH. Chemosphere. https://doi.org/10.1016/j.chemosphere.2019.05.169
Extracurriculars: University of Guelph Gryphon’s Varsity Swim Team
Distinctions: USports Academic All Canadian
Expertise:
Main domains: Analytical chemistry | Statistics | Data Science | Biomonitoring | Epidemiology
Statistics: Univariate Statistics | Multivariate Statistics | Parametric Statistics | Non-Parametric Statistics | Data Pre-Processing | Validation | Error analysis | Bayesian statistics
Programming Skills: Python | R | Matlab | JSL
Languages: English | Russian | Ukrainian
Consulting Experience:
Environmental Forensics Investigation
2020 - present
Environmental Forensics Investigation of Environmental Contaminants in Portland Harbor Superfund Site
FMC Corporation, Philadelphia, PA, USA
Chemometric workflow of environmental contaminant data from the Portland Harbor Superfund site. Extensive work developing dashboards for showcasing source apportionment, dimensionality reduction and predictive modelling interactively during litigation support meetings. The case involves the chemical fingerprinting of polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), polychlorinated biphenyls (PCBs) and other environmental contaminants.
2021 - present
Environmental Forensics Investigation of Environmental Contaminants in Centredale Manor Restoration Project Superfund Site
Stanley Black & Decker, Rhode Island, USA
Used recent sampling results to determine fingerprints to conduct source apportionment of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs), polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). Extensive statistical analysis with various receptor models to determine unique end-members and allocate the contribution of sources on a sample-by-sample basis.